Job Description

About the Job

As an AI Transformation Engineer, you will lead the journey from ad-hoc AI usage to AI-native software delivery across a 300-person organization. You will design and execute the transformation roadmap, establish responsible AI guardrails, and embed AI-powered practices throughout the SDLC (from coding and testing to operations and support).

You will enable teams with training, playbooks, and tooling, scale proven use cases, and define metrics to measure adoption, productivity, quality, and risk reduction. You will pre-pare and present your approach and plan to the leadership team, ensuring clear outcomes, governance, and a pragmatic path to value.

What you do

• Define responsible AI standards, guardrails, and governance (security, privacy, compliance, IP) with Architecture, Security, and Legal.
• Stand up an enablement program (training, playbooks, communities of practice) and a use case factory to pilot, prove, and scale value.
• Embed AI across the SDLC: AI coding assistants, test generation, code review, documentation, incident triage, analytics, and AIOps.
• Provision and standardize tooling (e.g., Copilot/Claude, prompt guidelines, evaluation harnesses, CI/CD integrations) and support onboarding.
• Build accelerators (templates, pipelines, prompt libraries, MLOps foundations) to industrialize repeatable AI patterns. Define and track KPIs/OKRs (velocity, quality, MTTR, risk, cost); instrument dashboards and run regular business reviews.
• Drive change management, stakeholder communications, and training; coach champions and team leads to sustain adoption.
• Prepare and deliver leadership presentations on strategy, plan, risks, and results; run steering cadence and course correct quickly.

What you bring

• Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent work experience).
• 8+ years in software delivery, including 3+ years leading AI enablement or transformation at scale (100+ engineers).
• Hands on experience with AI coding tools (e.g., GitHub Copilot, Claude Code) and applying LLMs/NLP to SDLC work-flows.
• Solid foundations in DevSecOps, CI/CD, testing automation, and observability; familiarity with MLOps and evaluation practices.
• Proven change leadership: training programs, playbooks, champions networks, and measurable adoption/ROI.
• Strong stakeholder management and executive communication; able to present clear plans, risks, and outcomes.
• Experience defining guardrails for responsible AI (security, privacy, IP, compliance) and aligning with enterprise standards.
• Familiarity Machine learning is a strong advantage.

What we offer

• We offer a hybrid work model which recognizes the value of striking a balance between in-person collaboration and remote working incl. up to 25 days per year working from abroad.
• We believe in rewarding performance and our compensation and benefits package includes a company bonus scheme, pension, employee shares program and multiple employee discounts (details vary by location).
• From career development and digital learning programs to international career mobility, we offer lifelong learning for our employees worldwide and an environment where innovation, delivery and empowerment are fostered.
• Flexible working, health and wellbeing offers (including healthcare and parental leave benefits) support to balance family and career and help our people return from career breaks with experience that nothing else can teach.

About Allianz Technology

With its headquarters in Munich, Germany, Allianz Technology is Allianz's global IT service provider and delivers IT solutions that drive the group's digitalization. With more than 11,000 employees in over 20 countries around the world, Allianz Technology is tasked to run, optimize, transform and innovate the infrastructure, applications and services together with Allianz companies to co-create the best customer experience.

We service the entire spectrum of digitalization – from one of the industry's largest IT infrastructure projects that spans data centres, networks and security, to application platforms ranging from workplace services to digital interaction.

In short: We deliver comprehensive end-to-end IT solutions for Allianz in the digital age. We are the backbone of Allianz.

Find us at: www.linkedin.com/company/allianz-technology

Commitment to Integrity, Fairness & Inclusion

Allianz Group is one of the most trusted insurance and asset management companies in the world. Caring for our employees, their ambitions, dreams and challenges, is what makes us a unique employer. Together we can build an environment where everyone feels empowered and has the confidence to explore, to grow and to shape a better future for our customers and the world around us.

We at Allianz believe in a strong inclusive culture that encourages people to speak their minds, get involved and question the status quo. We are proud to be an equal opportunity employer and encourage you to bring your whole self to work, no matter where you are from, what you look like, who you love, or what you believe in. We therefore welcome applications regardless of race, ethnicity or cultural background, age, gender, nationality, religion, social class, disability, sexual orientation, or any other characteristics protected under applicable local laws and regulations.

To Recruitment Agencies

Allianz Technology has an in-house recruitment team that sources great candidates directly. Therefore, Allianz Technology does not accept unsolicited resumes from agencies or search firm recruiters.

When we do work with recruitment agencies, that engagement is formalized by a contract. Fees will only be paid when there is a contract in place. Without a contract in place, we will not accept invoices on unsolicited resumes, even if the candidate was ultimately employed by Allianz.

104484 | IT & Tech Engineering | Professional | Non-Executive | Allianz Technology | Full-Time | Permanent